On the Use of "Green" Metrics in the Undergraduate Organic Chemistry Lecture and Lab To Assess the Mass Efficiency of Organic Reactions
Why this work is in the frame
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Bibliographic record
Abstract
This article describes a novel approach to evaluate the complete reaction mass efficiency (RME) and raw material cost (RMC) of any chemical transformation through the implementation of an Excel spreadsheet in a tax-form style and an easy graphical representation of the results. The complete equation for evaluating RME is presented. Students and their lab instructors will be able to see at once the material performance of their laboratory reaction and evaluate critically which of the four parameters (reaction yield, atom economy, stoichiometric factor, and material recovery parameter) needs further optimization to bring about a “greener” synthesis plan. The effect of material recovery options on RME and RMC are also given. The methodology is applied to a wide variety of organic reaction types and key trends in the material efficiency performances are summarized.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it